Classification of Breast Masses Using Selected Shape, Edge-sharpness, and Texture Features with Linear and Kernel-based Classifiers.
Tingting MuAsoke K. NandiRangaraj M. RangayyanPublished in: J. Digit. Imaging (2008)
Keyphrases
- texture features
- feature set
- shape features
- support vector
- feature vectors
- texture information
- multi category
- texture feature extraction
- feature extraction
- support vector machine
- svm classifier
- feature selection
- mammogram images
- gabor filtering
- wavelet features
- texture classification
- classification accuracy
- texture images
- textural features
- texture analysis
- edge information
- gabor wavelets
- gabor filters
- nonlinear kernel
- decision trees
- rotation invariant
- image classification
- texture features are extracted
- feature space
- training set
- lung nodules
- geometrical features
- computer aided diagnosis
- color features
- training data
- textured images
- local binary pattern
- gray level co occurrence matrix
- digital mammograms
- color and texture features
- texture patterns
- gray level
- breast cancer
- image features
- breast tissue
- natural textures
- object recognition
- texture descriptors
- shape descriptors
- mixture of gaussian distributions